A method for detecting the position of moving objects

Abstract

The invention discloses a moving target position detection system and method. The method includes: calibrating the visual axis of the sub-sensor unit in the multi-channel data synchronous acquisition device by Gaussian fitting method; according to the multi-channel data synchronous acquisition device having calibrated the sub-sensor unit visual axis, a side-inhibition neural network algorithm based on signal weighting , detecting the moving angle and moving distance of the target to be measured; determining the position of the target to be measured according to the moving angle and the moving distance. The present invention uses the quasi-Gaussian state of the target signal in the sensor array to propose a fast calibration method for the visual axis of the sensor array; based on the lateral inhibition characteristics of the optic nerve of the compound eye, combined with a weighting algorithm, the super-resolution of the motion parameters of the environmental target is realized under the high time resolution of the visual sensor High-rate angle positioning and ranging, so that it can quickly and accurately detect the position of moving targets.

Description

technical field [0001] The invention relates to the field of target position detection, in particular to a method for detecting the position of a moving target. Background technique [0002] The rapid visual navigation and obstacle avoidance of robots has become a research hotspot of mobile robots, among which the rapid acquisition and rapid prediction of target information (especially spatial position signals) in unknown environments is the key to this research. The low spatial resolution, high temporal resolution and nearly 360° large field of view of compound eye insects provide a biological prototype for the research of this technology. [0003] The electrophysiological experiments of insect compound eyes show that (1) the ocular signals of the compound eyes are simply processed by the optic lobe and then directly transmitted to the cervical and thoracic ganglia, forming an integrated mechanism of optic-controlling nerves and realizing the rapid execution of behaviors. ...

AI Technical Summary

Problems solved by technology

[0005] The photoelectric sensor bionic compound eye imitated by the biological prototype has achieved good results in the far-field polarized light navigation and the near-field visual axis vertical plane motion state analysis; but the near-field EMD model does not solve the rapid distance of the target in the visual axis direction. detection

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